Evaluate different methods for creating synthetic data and measure their performance and memory usage.
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Free · no card · unsubscribe anytimeBenchmarking synthetic data generation methods.
SDGym has 310 stars on GitHub. It has been forked 68 times. SDGym is written mainly in Python. It has been in active development since 2019. Its main topics are benchmark, deep-learning, generative-adversarial-network, generative-ai.
What is SDGym?
Benchmarking synthetic data generation methods.
Is SDGym open source?
SDGym is an open-source project.
Is SDGym free?
Yes. SDGym is free and open source — you can use, modify and self-host it.
What language is SDGym written in?
SDGym is written mainly in Python.
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